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Machine Learning Backend Engineer at mylo AI · Trevo
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Job Description
About the role
Machine Learning Backend Engineer
Shape the way people find love.
Mylo is an AI-driven matchmaking platform that is redefining online dating by focusing on deep compatibility and intentional connection rather than superficial swiping. As an active, personal AI matchmaker, mylo uses adaptive intelligence to understand personality, values, and relationship intent to help people form meaningful relationships.
Are you ready to teach code how to fall in love? mylo isn't just another dating app. It's an AI matchmaker built to find love—and we need a Machine Learning Backend Engineer to build and scale the systems that make our matching actually work. Dating is broken. Together, we're fixing it.
Based in the heart of Tel Aviv, we're a dynamic startup with big dreams and an even bigger mission. We've had a highly successful launch and are gearing up for a massive U.S. expansion. This is a high-impact, hands-on role where you won't just be maintaining APIs; you'll be building the backbone of the AI that decides who meets who.
What you'll do
Own the Matching Backend: Design, build, and scale the backend services and APIs that power mylo's AI matchmaking, conversation guidance, and vibe-meter feedback loop.
Ship ML Into Production: Take mylo's matching and compatibility models from notebook to production, building the pipelines that keep them learning from real user feedback.
Scale for Growth: Architect the systems that handle real-time chat, matching, and notifications as concurrent users grow across Israel and the U.S.
Build the Data Pipeline: Design the infrastructure that feeds user signals — vibe-meter feedback, chat engagement, compatibility outcomes — back into the model, keeping it accurate as the user base grows.
Partner With Product: Work closely with product and leadership to turn “make the AI wingman feel more human” into real, shippable backend and model changes.
Requirements
Experienced: 4+ years of backend engineering experience, including real production experience building or serving machine learning models, not just calling pre-built APIs.
A Systems Thinker: You design for scale from day one — API design, database architecture, and service reliability are second nature to you.
ML-Fluent: Comfortable with the practical side of ML in production — model serving, retraining pipelines, feature stores, and monitoring for drift — more than pure research.
Data-Informed & Growth-Obsessed: You think in terms of what signals actually improve match quality, and work closely with product and analytics to define and track them.
A Startup Operator: You take extreme ownership, prioritize speed, and navigate ambiguity with ease in a fast-paced environment.
Bonus Points: Experience with recommendation systems or matching algorithms (dating, marketplace, or social), familiarity with real-time chat infrastructure, or prior work scaling a consumer app past hundreds of thousands of users.
Work Setup & Perks
Location: Hybrid position based out of our office in the heart of Tel Aviv.
Impact: High ownership, a competitive salary, and a dynamic team environment where you will shape mylo's core technology from the ground up.
Mission: Work on a product with real emotional depth, cultural relevance, and the power to change lives.
Sound Like Your Perfect Match?
Send your CV and a link to your GitHub or relevant work to hr@mylo.dating and include the role title in the subject line.